Buch, Englisch, 352 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g
Reihe: Studies in Classification, Data Analysis, and Knowledge Organization
Methods and Applications
Buch, Englisch, 352 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g
Reihe: Studies in Classification, Data Analysis, and Knowledge Organization
ISBN: 978-3-030-75189-0
Verlag: Springer International Publishing
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
Weitere Infos & Material
Part 1: Methodology.- Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek).- Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus).- Chapter 3 - Identification of the Words Most Frequently Used by Different Generations of Twitter Users (Agata Majkowska, Kamila Migdal-Najman, Krzysztof Najman and Katarzyna Raca).- Chapter 4 - Classification Algorithms Applications for Information Security on the Internet: a Review (Michal Brys).- Chapter 5 - Outlier Detection with the Use of Isolation Forests (Krzysztof Najman and Krystian Zielinski).- Part 2: Application in Finance.- Chapter 6 - Propositions of Transformations of Asymmetrical Nominants into Stimulants on the Example of Chosen Financial Ratios ( Barbara Batóg and Katarzyna Wawrzyniak).- Chapter 7 - Gini Regression in The Capital Investment Risk Assessment – Sensitivity Risk Measures in Portfolio Analysis (Grazyna Trzpiot).- Part 3: Application in Economics.- Chapter 8 - Enterprise Dark Data (Katarzyna Raca).- Chapter 9 - The Significance of Medical Science Issues in Research Papers Published in the Field of Economics (Urszula Cieraszewska, Monika Hamerska, Pawel Lula and Marcela Zembura).- Chapter 10 - Application of Duration Analysis Methods in the Study of the Exit of a Real Estate Sale Offer from the Offer Database System (Ewa Putek-Szelag, Anna Gdakowicz).- Chapter 11 - Is Society Ready for Long-Term Investments? – Profiles of Electricity Users in Silesia (Sylwia Slupik and Joanna Trzesiok).- Chapter 12 - The Use of the Spatial Taxonomic Measure of Development to Assess the Tourist Attractiveness of Districts of the Lesser Poland Province(Jacek Wolak).- Part 4: Application in Social Issues.- Chapter 13 - Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-registration (Beata Bieszk-Stolorz).- chapter 14 - Direct Adjusted Survival Probabilities in the Analysis of Finding a Job by the Unemployed Depending on Their Individual Characteristics(Wioletta Grzenda).- Chapter 15 - Europe 2020 Strategy – Objective Evaluation of Realization and Subjective Assessment by Seniors as Beneficiaries of Social Assumptions (Klaudia Przybysz, Agnieszka Stanimir and Marta Wasiak).- Chapter 16 - Do Seniors Get to the Disco by Bike or in a Taxi? – Classification of Seniors According to Their Preferred Means of Transport (Joanna Kos-Labedowicz and Joanna Trzesiok).- Part 5: Application with COVID-19 Data.- Chapter 17 - The Impact of the COVID-19 Pandemic on the Economies of European Countries in the Period January-September 2020 Based on Economic Indicators (Ewelina Nojszewska and Agata Sielska).- Chapter 18 - Modelling the Risk of Foreign Divestment in the Visegrad Group Countries During the COVID-19 Pandemic (Marcin Salamaga).- Chapter 19 - Analysis of COVID-19 Dynamics in EUCountries Using the Dynamic Time Warping Method and ARIMA Models (Joanna Landmesser).